Survey a Superconducting Magnetic Energy Storage SMES with PV System to Enhance the Microgrid

The utilization of renewable energy sources (RESs) is one of the most notable solutions for reducing reliance on fossil fuels, as a result, reducing pollution consequences. wind power generation (WPG) or solar photovoltaic (PV) or both technologies used to solve a number of issues in electric power...

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Bibliographic Details
Main Authors: Alkhafaji, Ahmed Samawi, Trabelsi, Hafedh
Format: Conference Proceeding
Language:English
Subjects:
hybrid energy storage systems (HESSs)
Mathematical models
Power system stability
Renewable energy sources
renewable energy sources (RESs)
SMES
Stability analysis
System performance
Voltage fluctuations
Wind speed
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Summary:The utilization of renewable energy sources (RESs) is one of the most notable solutions for reducing reliance on fossil fuels, as a result, reducing pollution consequences. wind power generation (WPG) or solar photovoltaic (PV) or both technologies used to solve a number of issues in electric power grid. However, Wind speed is constantly changing, increasing and decreasing around the average wind speed, the result is varied WPG output power. Furthermore, the PV output power was impacted by the intermittent nature of solar irradiation. These circumstances will have an influence on the stability and reliability of the power grid. energy storage systems (ESSs) play a crucial role to aid in the resolution of the challenges that mentioned, as well as, minimizing the fluctuating character of the electrical power system. This paper presents a review study for superconducting magnetic energy storage (SMES). Mainly aims for used it as a storage system to improve the power quality and increase the opportunity of power availability therefore, mitigate the voltage and frequency fluctuations. The model designed include PV system and a hybrid ESSs (SMES, and Battery). The results obtained were tested for several cases and different real loads such as (fixed, intermittent, changing, and P-Q loads), the model was simulated by using MATLAB/Simulink.
ISSN:2474-0446
DOI:10.1109/SSD54932.2022.9955824